Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-fa-base-uncased-finetuned-PersianQuAD-finetuned-pquad-3epochs – AI Model by Z-Jafari | AlphaNeural AI
You can deploy this model and start earning money today!
Z-Jafari
/
bert-fa-base-uncased-finetuned-PersianQuAD-finetuned-pquad-3epochs
like
0
transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
fa
Z-Jafari/pquad
Z-Jafari/bert-fa-base-uncased-finetuned-PersianQuAD-3epochs
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-fa-base-uncased-finetuned-PersianQuAD-finetuned-pquad-3epochs
This model is a fine-tuned version of
Z-Jafari/bert-fa-base-uncased-finetuned-PersianQuAD-3epochs
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9244
{'exact': 75.21869532616846, 'f1': 87.71708896094634, 'total': 8002, 'HasAns_exact': 69.92444152431011, 'HasAns_f1': 86.35219215924648, 'HasAns_total': 6088, 'NoAns_exact': 92.05851619644723, 'NoAns_f1': 92.05851619644723, 'NoAns_total': 1914, 'best_exact': 75.21869532616846, 'best_exact_thresh': 0.0, 'best_f1': 87.71708896094681, 'best_f1_thresh': 0.0}
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7179
1.0
4000
0.7750
0.458
2.0
8000
0.7864
0.2851
3.0
12000
0.9244
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
